In this talk we'll explore powerful analytic techniques for graph data. Firstly we'll discover some of the innate properties of (social) graphs from fields like anthropology and sociology. Then we'll see how graph matching can be used to extract online business intelligence (for powerful retail recommendations).
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Dr. Jim Webber is Chief Scientist with Neo Technology, the company behind the popular open source graph database Neo4j, where he works on R&D for highly scalable graph databases and writes open source software. His proven passion for microservices ecosystems and REST translate into highly engaging workshops that foster collaboration and discussion.